English

Robust Mediators in Large Games

Computer Science and Game Theory 2015-12-14 v2

Abstract

A mediator is a mechanism that can only suggest actions to players, as a function of all agents' reported types, in a given game of incomplete information. We study what is achievable by two kinds of mediators, "strong" and "weak." Players can choose to opt-out of using a strong mediator but cannot misrepresent their type if they opt-in. Such a mediator is "strong" because we can view it as having the ability to verify player types. Weak mediators lack this ability--- players are free to misrepresent their type to a weak mediator. We show a striking result---in a prior-free setting, assuming only that the game is large and players have private types, strong mediators can implement approximate equilibria of the complete-information game. If the game is a congestion game, then the same result holds using only weak mediators. Our result follows from a novel application of differential privacy, in particular, a variant we propose called joint differential privacy.

Keywords

Cite

@article{arxiv.1512.02698,
  title  = {Robust Mediators in Large Games},
  author = {Michael Kearns and Mallesh M. Pai and Ryan Rogers and Aaron Roth and Jonathan Ullman},
  journal= {arXiv preprint arXiv:1512.02698},
  year   = {2015}
}

Comments

This work unifies and subsumes the two papers "Mechanism design in large games: incentives and privacy" ITCS'14 (arXiv:1207.4084) and "Asymptotically truthful equilibrium selection in large congestion games" EC '14 (arXiv:1311.2625)

R2 v1 2026-06-22T12:04:49.119Z